Gender: Female 
Age: 35-44
Nationality: United States
Ethnicity: Black or African American;White / Caucasian 
Marital status: Single 
First language: English 
Religion: Christian 
Education: High school or below
Mother's education: Undergraduate degree
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 4
Home: Rent 
Employment: Self-employed full time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Father's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Hobbies: Listen to hiphop and rap;Use social media 
Devices used daily: Laptop;Smartphone 
NLP tools known: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: Sentiment analysis (e.g. automatically detect if user reviews are positive or negative);Grammar checker (i.e., correcting grammar mistakes) 
Frequency of LLM use: Rarely
LLMs used: ChatGPT;Google Gemini;GitHub Copilot;Microsoft Bing AI 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Generic chatbot conversation;Digital content creation (e.g., creation of social media content);Analyze data;Solving math or logical problems;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge 
Contexts of LLM use: Work;Entertainment;Learning;Personal;Creative or artistic 
Prompt 1: Does water have a shadow or reflection 
Prompt 2: Does fire have a reflection 
Prompt 3: Can you write a definition for the concept Aturnal Bliss 
Prompt 4: Can you write a definition for the word Aturnal
Prompt 5: Can you give examples of Aturnal 
Prompt 6: Can you give examples of Aturnal Bliss
Prompt 7: Can you write a story line with the plot Aturnal Bliss
Prompt 8: Can you provide best approach to begin freelance writing 
Prompt 9: Can you give ideas on how to promote content for a new creator 
Prompt 10: Can you help me write a business plan